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KDD
2012
ACM
242views Data Mining» more  KDD 2012»
11 years 11 months ago
Query-driven discovery of semantically similar substructures in heterogeneous networks
Heterogeneous information networks that contain multiple types of objects and links are ubiquitous in the real world, such as bibliographic networks, cyber-physical networks, and ...
Xiao Yu, Yizhou Sun, Peixiang Zhao, Jiawei Han
VLDB
2005
ACM
105views Database» more  VLDB 2005»
14 years 2 months ago
Light-weight Domain-based Form Assistant: Querying Web Databases On the Fly
The Web has been rapidly “deepened” by myriad searchable databases online, where data are hidden behind query forms. Helping users query alternative “deep Web” sources in ...
Zhen Zhang, Bin He, Kevin Chen-Chuan Chang
SAC
2006
ACM
14 years 2 months ago
Privacy-preserving SVM using nonlinear kernels on horizontally partitioned data
Traditional Data Mining and Knowledge Discovery algorithms assume free access to data, either at a centralized location or in federated form. Increasingly, privacy and security co...
Hwanjo Yu, Xiaoqian Jiang, Jaideep Vaidya
MLDM
2007
Springer
14 years 2 months ago
Applying Frequent Sequence Mining to Identify Design Flaws in Enterprise Software Systems
In this paper we show how frequent sequence mining (FSM) can be applied to data produced by monitoring distributed enterprise applications. In particular we show how we applied FSM...
Trevor Parsons, John Murphy, Patrick O'Sullivan
KDD
1999
ACM
199views Data Mining» more  KDD 1999»
14 years 1 months ago
The Application of AdaBoost for Distributed, Scalable and On-Line Learning
We propose to use AdaBoost to efficiently learn classifiers over very large and possibly distributed data sets that cannot fit into main memory, as well as on-line learning wher...
Wei Fan, Salvatore J. Stolfo, Junxin Zhang